退出显示图像OpenCV时堆坏了

时间:2013-02-25 00:47:30

标签: debugging opencv

我正在根据本教程做一些iamge数学

http://docs.opencv.org/doc/tutorials/features2d/feature_homography/feature_homography.html

它可以单独运行,但是当我将它放入一个函数并从main函数调用它时,就会出现堆损坏。程序显示图像,然后当我按空格键关闭程序时,它会中断。

int main(int argc, char ** argv)
{

    // Part 2 panorama
    Mat im1=imread("panorama_image1.jpg", CV_LOAD_IMAGE_GRAYSCALE);
    Mat im2=imread("panorama_image2.jpg", CV_LOAD_IMAGE_GRAYSCALE);

    immosaic(im1,im2);

    return 0;
}

这是从教程中复制的马赛克功能

void immosaic(Mat im_object, Mat im_scene)
{
    //-- Step 1: Detect the keypoints using SURF Detector
    int minHessian = 400;
    SurfFeatureDetector detector( minHessian );
    std::vector<KeyPoint> keypoints_object, keypoints_scene;

    detector.detect( im_object, keypoints_object );
    detector.detect( im_scene, keypoints_scene );

    //-- Step 2: Calculate descriptors (feature vectors)
    SurfDescriptorExtractor extractor;
    Mat descriptors_object, descriptors_scene;
    extractor.compute( im_object, keypoints_object, descriptors_object );
    extractor.compute( im_scene, keypoints_scene, descriptors_scene );

    //-- Step 3: Matching descriptor vectors using FLANN matcher
    FlannBasedMatcher matcher;
    std::vector< DMatch > matches;
    matcher.match( descriptors_object, descriptors_scene, matches );

    double max_dist = 0; double min_dist = 100;

    //-- Quick calculation of max and min distances between keypoints
    for( int i = 0; i < descriptors_object.rows; i++ )
    {
        double dist = matches[i].distance;
        if( dist < min_dist ) min_dist = dist;
        if( dist > max_dist ) max_dist = dist;
    }

    //-- Draw only "good" matches (i.e. whose distance is less than 3*min_dist )
    std::vector< DMatch > good_matches;

    for( int i = 0; i < descriptors_object.rows; i++ )
    {
        if( matches[i].distance < 3*min_dist )
            good_matches.push_back( matches[i]);
    }

    Mat img_matches;
  drawMatches( im_object, keypoints_object, im_scene, keypoints_scene,
               good_matches, img_matches, Scalar::all(-1), Scalar::all(-1),
               vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );

  //-- Localize the object
  std::vector<Point2f> obj;
  std::vector<Point2f> scene;

  for( int i = 0; i < good_matches.size(); i++ )
  {
    //-- Get the keypoints from the good matches
    obj.push_back( keypoints_object[ good_matches[i].queryIdx ].pt );
    scene.push_back( keypoints_scene[ good_matches[i].trainIdx ].pt );
  }

  Mat H = findHomography( obj, scene, CV_RANSAC );

  //-- Get the corners from the image_1 ( the object to be "detected" )
  std::vector<Point2f> obj_corners(4);
  obj_corners[0] = cvPoint(0,0); obj_corners[1] = cvPoint( im_object.cols, 0 );
  obj_corners[2] = cvPoint( im_object.cols, im_object.rows ); obj_corners[3] = cvPoint( 0, im_object.rows );
  std::vector<Point2f> scene_corners(4);

  perspectiveTransform( obj_corners, scene_corners, H);

  //-- Draw lines between the corners (the mapped object in the scene - image_2 )
  line( img_matches, scene_corners[0] + Point2f( im_object.cols, 0), scene_corners[1] + Point2f( im_object.cols, 0), Scalar(0, 255, 0), 4 );
  line( img_matches, scene_corners[1] + Point2f( im_object.cols, 0), scene_corners[2] + Point2f( im_object.cols, 0), Scalar( 0, 255, 0), 4 );
  line( img_matches, scene_corners[2] + Point2f( im_object.cols, 0), scene_corners[3] + Point2f( im_object.cols, 0), Scalar( 0, 255, 0), 4 );
  line( img_matches, scene_corners[3] + Point2f( im_object.cols, 0), scene_corners[0] + Point2f( im_object.cols, 0), Scalar( 0, 255, 0), 4 );

  //-- Show detected matches
  namedWindow("Matching");
  imshow( "Matching", img_matches );

  waitKey(0);
  //return 0;

}

2 个答案:

答案 0 :(得分:0)

我也遇到过这个问题。我的问题是我在运行Visual Studio 2012,但是使用了为Visual Studio 2010构建的openCV(2.4.3)的lib文件。

如果是这种情况,你有两个选择

  1. 在VS 2012中重建OpenCV库(这可能不是最简单的事情)。
  2. 在Visual Studio中更改平台工具集。转到项目属性 - &gt;配置属性 - &gt;常规 - &gt;平台工具集并将其更改为“Visual Studio 2010(v100)”

答案 1 :(得分:0)

我尝试了相同的教程并遇到了同样的问题,并尝试了网上的所有方法而没有运气。刚才我终于修好了。它不是退出显示导致损坏,而是从函数返回。换句话说,在块在这些dll结束之后清洁过程存在一些问题。

  

就我而言,问题是加载了调试dll和release dll的混合。

通过仔细查看这些加载信息,您可以查看是否存在同样的问题。要解决此问题,请将属性 - > gt;链接器 - >输入 - >附加依赖项更改为仅调试或释放。 使清洁再次建立。幸运的话,你不会再看到问题了。

希望它有所帮助。